NCT07010211Not yet recruiting
Artificial Intelligence-Based Motion Analysis for Early Detection of COPD
Development of an Artificial Intelligence-Based Motion Analysis System for the Detection of Chronic Obstructive Pulmonary Disease (COPD)
Source: ClinicalTrials.gov · Last updated 8 Jun 2025 · Not updated for over 12 months - ask the site whether it is still open
Brief summary (registry, in English)
This study aims to develop a non-invasive and contact-free diagnostic system that uses artificial intelligence (AI) to detect Chronic Obstructive Pulmonary Disease (COPD) by analyzing walking patterns. Participants in this study will include individuals with a diagnosis of COPD and healthy volunteers. All participants will undergo a 6-minute walk test (6MWT), during which their movements will be recorded using video. In addition, they will complete a breathing test (spirometry) and a short questionnaire about symptoms. The recorded videos will be analyzed using an AI model based on motion tracking software. This model will evaluate walking-related parameters such as step count, step length, walking time, and total walking distance. The goal is to determine whether walking patterns can be used to detect COPD with high accuracy, especially in situations where traditional lung function tests may not be available or feasible. This study is observational and does not involve any experimental drug or treatment. The results may help to create new diagnostic tools that are easy to use, safe, and accessible for early detection of COPD.
- Status (registry)
- Not yet recruiting
- Study type
- Observational
- Enrollment
- 56 (estimated)
- First submitted
- 30 May 2025
- Start date
- Aug 2025
- Primary completion date
- Feb 2026
- Lead sponsor
- Burcin Celik
- Diseases
- COPD
- NCT number
- NCT07010211
What you commit to
- Study type: Observational
- Planned participants: 56
- From Aug 2025 to the primary completion date, Feb 2026
- No sites listed in no country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other illness
- Acute respiratory tract infection or other active infections
- Severe heart failure, advanced arrhythmias, or other serious cardiovascular conditions
- Neurological or orthopedic conditions causing major gait disturbance
- Pregnant or breastfeeding women Diagnosed with other serious pulmonary diseases (e.g., interstitial lung disease, active tuberculosis) Refusal to give informed consent or to be video recorded
Age
- Younger than 40 or older than 80 years
Other
- Physical disability preventing completion of the 6-minute walk test
- Inability to perform spirometry due to physical or cognitive limitations
Who the study is looking for
- Aged between 40 and 80 years
- Ability to provide informed consent
- For COPD group: Previously diagnosed with COPD based on GOLD criteria (FEV1/FVC \< 0.70)
- For control group: No history of pulmonary disease and normal spirometry results
- Physically able to perform the 6-minute walk test
- Willingness to participate in video recording during gait analysis
Age in the registry: 40 years to 80 years · Sex: All · Accepts healthy volunteers
This page is information, not medical advice. Discuss any trial with your doctor.